View source for Tata Consultancy Services Limited (20240320689). METHOD AND SYSTEM FOR ESTIMATION OF COVER CROP DURATION AND INTEGRATED COVER CROP INDEX (ICCI) simplified abstract

=METHOD AND SYSTEM FOR ESTIMATION OF COVER CROP DURATION AND INTEGRATED COVER CROP INDEX (ICCI)=


==Organization Name==

[[:Category:Tata Consultancy Services Limited|Tata Consultancy Services Limited]]


[[Category:Tata Consultancy Services Limited]]

==Inventor(s)==

[[:Category:JAYANTRAO Mohite of Thane (IN)|JAYANTRAO Mohite of Thane (IN)]][[Category:JAYANTRAO Mohite of Thane (IN)]]

[[:Category:SURYAKANT ASHOK Sawant of Pune (IN)|SURYAKANT ASHOK Sawant of Pune (IN)]][[Category:SURYAKANT ASHOK Sawant of Pune (IN)]]

[[:Category:RISHABH Agrawal of Indore (IN)|RISHABH Agrawal of Indore (IN)]][[Category:RISHABH Agrawal of Indore (IN)]]

[[:Category:ANKUR Pandit of Indore (IN)|ANKUR Pandit of Indore (IN)]][[Category:ANKUR Pandit of Indore (IN)]]

[[:Category:SRINIVASU Pappula of Hyderabad (IN)|SRINIVASU Pappula of Hyderabad (IN)]][[Category:SRINIVASU Pappula of Hyderabad (IN)]]

==METHOD AND SYSTEM FOR ESTIMATION OF COVER CROP DURATION AND INTEGRATED COVER CROP INDEX (ICCI) - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240320689 titled 'METHOD AND SYSTEM FOR ESTIMATION OF COVER CROP DURATION AND INTEGRATED COVER CROP INDEX (ICCI)

'''Simplified Explanation:'''
The patent application discloses a method and system for estimating the duration of cover crops and generating an Integrated Cover Crop Index (ICCI) by utilizing various data sources and indicators.

* Maincrop is identified and associated time series data is eliminated to avoid false positives.
* Type of cover crop and its duration are detected using satellite remote sensing data, sensor data, field observations, and phenology-based indicators.
* Duration of cover crop is estimated considering factors like snow cover and dormant periods by integrating remote sensing and sensor data with local crop knowledge.
* ICCI provides a quantitative measure for cover crop effort and can incentivize farmers practicing sustainable cropping.

'''Key Features and Innovation:'''
* Utilizes satellite remote sensing data, sensor data, field observations, and phenology-based indicators for accurate cover crop duration estimation.
* Integrates local crop knowledge with data analysis to provide a comprehensive approach.
* Generates ICCI as a quantitative measure for cover crop effort, aiding in incentivizing sustainable cropping practices.

'''Potential Applications:'''
The technology can be applied in agriculture, environmental monitoring, and sustainable farming practices.

'''Problems Solved:'''
The technology addresses the challenge of accurately estimating cover crop duration and incentivizing sustainable cropping practices.

'''Benefits:'''
* Improved accuracy in cover crop duration estimation.
* Encouragement for farmers to adopt sustainable cropping practices.
* Enhanced environmental monitoring capabilities.

'''Commercial Applications:'''
Title: "Integrated Cover Crop Index (ICCI) Technology for Sustainable Agriculture"
This technology can be utilized by agricultural companies, environmental agencies, and policymakers to promote sustainable farming practices and monitor environmental impact.

'''Prior Art:'''
Readers can explore prior research on cover crop duration estimation, remote sensing in agriculture, and sustainable farming practices.

'''Frequently Updated Research:'''
Stay updated on advancements in remote sensing technology, phenology-based indicators, and sustainable agriculture practices for further insights into cover crop duration estimation.

'''Questions about Cover Crop Duration Estimation:'''
1. How does the integration of satellite remote sensing data and local crop knowledge improve cover crop duration estimation?
2. What are the potential implications of ICCI in incentivizing sustainable cropping practices?


==Original Abstract Submitted==

precise estimation of duration of cover crop is a challenge considering multiple factors contributing to the same and complexity involved in capturing them in the estimation process. a method and system for estimation of cover crop duration and generating integrated cover crop index (icci) is disclosed. firstly, the maincrop is identified and associated time series data is eliminated to avoid false positives. detection of type of cover crop and its exact duration is derived by integrated use of satellite remote sensing data, sensor data, field observations and phenology based indicators. duration of cover crop is estimated considering the impact of snow cover, dormant period etc., by integrated use of remote sensing and sensor data along with local domain crop knowledge of the region. the icci provides quantitative measure for cover crop effort and can be used for incentivizing farmers following sustainable cropping practices.



[[Category:G06Q30/018]]
[[Category:G06Q50/02]]
[[Category:CPC_G06Q30/018]]